AI workshops, sprints, advisory, and talks for teams shipping practical AI products.
I co-founded Klu.ai, an LLM app evaluation and optimization platform. Before that I led product at Productboard, product and design at Freeletics, and UX programs at Amazon. The through-line is simple: I help teams turn messy product ambition into clear decisions and work that can actually ship.
Turn a pile of AI ideas into a short list of funded experiments, owners, and next steps
Half-day or full-day, remote or onsite
You leave with: A written strategy brief, clear priorities, and the first experiments worth running.
Learn how LLMs actually behave, then apply that knowledge to a real product problem the same day
Usually a full day, remote or onsite
You leave with: Prototype directions, evaluation criteria, and a concrete next step after the sprint.
Bring one hard product or AI decision and leave with a better answer plus written rationale
60 or 120 minutes, one-off or recurring
You leave with: A decision memo, next steps, and direct feedback on the work in front of you.
Practical AI talks that leave teams with sharper questions, clearer language, and less hype
Live remote, prerecorded with Q&A, or onsite
You leave with: Sharper internal language, better questions, and clearer next decisions.
I've built and led product across early-stage startups, enterprise software, and consumer scale: co-founder of Klu.ai, product leadership at Productboard, product and design at Freeletics, and UX programs at Amazon.
I've spoken at SxSW, Product Makers Summit, Product School, the EU CPO Conference, and Product-led Alliance. The common thread is practical product thinking, not theater.
I kill weak ideas early, force tradeoffs into the open, and leave teams with something they can use the next day. Every engagement runs the same way: a short intro call to confirm fit, pre-work so we start with real constraints, a focused working session, and written outputs the team keeps.
Remote works well for advisory and many workshops. Onsite is great when you need deep alignment across a larger group.
A short context doc, current goals, key workflows, and any relevant customer research, support logs, or existing prototypes.
Yes.
Yes, either as follow-up advisory sessions or by working directly with the team on execution and quality.
I'm usually in Asia/Seoul time, but I keep overlap with US and Europe for calls and sessions.
Book a short intro call and we'll choose the best format together. Share context in advance so the first session starts with real constraints.